Stanford2D3D Stanford2D3D [1]} dataset consists of 1413 real-world panorama images from six large-scale indoor areas. We follow the official train-test split which uses the fifth area for testing, and other areas for training. We resize the images to \(256 \times 512\)  to reduce computation time.
